PRIMER SELECTION METHOD BASED ON SUPPORT VECTOR MACHINE AND ANT COLONY OPTIMISATION

摘要

The variations of tissue culture plantlets are usually detected by the methods of molecular marker technology with polymerase chain reaction using primers. The primers design and selection is dependent on researcher personal experience and experimental conditions, conducts primers selection bias. A method for primers selection is discussed in this paper by using Support vector machine (SVM) and Ant colony optimisation (ACO). The Euclidean distance between parts of obtained primers is used as training SVM classifier for filtering the sample genes, and then a candidate subset of primers is generated. At last, ACO is used to further optimise the candidate primers set and the final primers are obtained. The method was tested by experiment in selecting the primers of kiwifruit in tissue culture. It would provide valuable reference for rapid propagation of plants.